The following pages link to (Q3580843):
Displaying 18 items.
- Likelihood approach for count data in longitudinal experiments (Q122354) (← links)
- Remarks on asymptotic efficient estimation for regression effects in stationary and nonstationary models for panel count data (Q398202) (← links)
- Semi-parametric models for negative binomial panel data (Q505488) (← links)
- Inferences in longitudinal count data models with measurement errors in time dependent covariates (Q505995) (← links)
- Dynamic mixed models for familial longitudinal data (Q626382) (← links)
- Robust inferences in longitudinal models for binary and count panel data in the presence of outliers (Q717209) (← links)
- GMM versus GQL inferences for panel count data (Q842957) (← links)
- Inferences in semi-parametric dynamic mixed models for longitudinal count data (Q1695762) (← links)
- Analyzing unevenly spaced longitudinal count data (Q2061741) (← links)
- On a Unified Generalized Quasi–likelihood Approach for Familial–Longitudinal Non‐Stationary Count Data (Q3552937) (← links)
- Analysing longitudinal count data with overdispersion (Q4419408) (← links)
- Longitudinal Mixed Models with t Random Effects for Repeated Count and Binary Data (Q4645248) (← links)
- Comparing Joint GQL Estimation and GMM Adaptive Estimation in COM-Poisson Longitudinal Regression Model (Q4921596) (← links)
- Inferences in generalized linear longitudinal mixed models (Q4932232) (← links)
- Generalized quasi-likelihood estimation procedure for non-stationary over-dispersed longitudinal counts (Q5065305) (← links)
- Regression analysis of zero-inflated time-series counts: application to air pollution related emergency room visit data (Q5126959) (← links)
- Inference in Semi-Parametric Dynamic Models for Repeated Count Data (Q5361206) (← links)
- A joint Poisson state-space modelling approach to analysis of binomial series with random cluster sizes (Q6637195) (← links)
